HP HP ZBook Studio 16 inch G11 Mobile Workstation PC
Geekbench ML Score
3535
ONNX CPU Inference Score
Geekbench ML 0.6.0 for Windows AVX2
Result Information
| Upload Date | February 05 2025 08:35 PM |
| Views | 4 |
System Information
| System Information | |
|---|---|
| Operating System | Microsoft Windows 11 Pro (64-bit) |
| Model | HP HP ZBook Studio 16 inch G11 Mobile Workstation PC |
| Motherboard | HP 8CF5 |
| Power Plan | HP Optimized (Modern Standby) |
| CPU Information | |
|---|---|
| Name | Intel Core Ultra 9 185H |
| Topology | 1 Processor, 16 Cores, 22 Threads |
| Identifier | GenuineIntel Family 6 Model 170 Stepping 4 |
| Base Frequency | 2.30 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 10 Cores |
| L1 Instruction Cache | 64.0 KB x 11 |
| L1 Data Cache | 48.0 KB x 11 |
| L2 Cache | 2.00 MB x 2 |
| L3 Cache | 24.0 MB x 1 |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
| Inference Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
1713
320.5 IPS |
|
|
Image Classification (F16)
|
100% |
1708
319.6 IPS |
|
|
Image Classification (I8)
|
99% |
2991
559.7 IPS |
|
|
Image Segmentation (F32)
|
100% |
1592
26.6 IPS |
|
|
Image Segmentation (F16)
|
100% |
1636
27.3 IPS |
|
|
Image Segmentation (I8)
|
98% |
2778
46.4 IPS |
|
|
Pose Estimation (F32)
|
100% |
6033
7.31 IPS |
|
|
Pose Estimation (F16)
|
100% |
6092
7.38 IPS |
|
|
Pose Estimation (I8)
|
100% |
22772
27.6 IPS |
|
|
Object Detection (F32)
|
100% |
1712
127.8 IPS |
|
|
Object Detection (F16)
|
100% |
1708
127.5 IPS |
|
|
Object Detection (I8)
|
62% |
1585
118.3 IPS |
|
|
Face Detection (F32)
|
100% |
4052
48.2 IPS |
|
|
Face Detection (F16)
|
100% |
4008
47.7 IPS |
|
|
Face Detection (I8)
|
89% |
4339
51.6 IPS |
|
|
Depth Estimation (F32)
|
100% |
6746
52.3 IPS |
|
|
Depth Estimation (F16)
|
100% |
6898
53.5 IPS |
|
|
Depth Estimation (I8)
|
96% |
13578
105.3 IPS |
|
|
Style Transfer (F32)
|
100% |
15571
20.5 IPS |
|
|
Style Transfer (F16)
|
100% |
15816
20.8 IPS |
|
|
Style Transfer (I8)
|
98% |
21524
28.3 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
2772
99.0 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
2639
94.3 IPS |
|
|
Image Super-Resolution (I8)
|
99% |
4625
165.2 IPS |
|
|
Text Classification (F32)
|
100% |
1140
1.64 KIPS |
|
|
Text Classification (F16)
|
100% |
1175
1.69 KIPS |
|
|
Text Classification (I8)
|
98% |
1064
1.53 KIPS |
|
|
Machine Translation (F32)
|
100% |
1819
33.5 IPS |
|
|
Machine Translation (F16)
|
100% |
1835
33.8 IPS |
|
|
Machine Translation (I8)
|
67% |
3045
56.0 IPS |
